Datasets:
For validation, we use 3 commonly used WSOL datasets: CUB-200-2011, OpenImages and ILSVRC.
CUB200-2011 consists of 11,788 images divided into 200 categories; 5,794 for testing and 5,994 for training [1]}. For validation and hyperparameter search, we employed an independent validation set collected by [2]} containing 1,000 images. OpenImages [3]}, [2]} contains 37,319 images divided into 100 classes. From this data set, we considered 29,819 images for training and 5000 images for testing. The remaining 2,500 images are used as validation set. ILSVRC consists of 1000 classes with approximately 1.2M images, from which we extracted 50K images for training and testing, and 10K images for validation as in [2]}.
